By: Natalie Johnson
Executives often assume that if you build a superior material or piece of hardware, customers will line up on their own. Keith Blakely spent decades leading advanced technology ventures only to find that this logic rarely holds in the real world. Having commercialized breakthrough tech across defense, commercial nuclear operations, and industrial manufacturing, Blakely learned that performance alone never secures a contract. True commercial viability comes down to pairing scientific intuition with a realistic assessment of customer risk and unit economics.
Why Better Products Do Not Sell Themselves
When Blakely launched his first business in the advanced materials sector, he expected high technical benchmarks and fair pricing to carry the business forward. Instead, the market responded with hesitation because the company had not addressed a tangible operational bottleneck. “I learned you had to be solving a problem and not trying to sell a material,” Blakely reflects on his early commercialization efforts. “My first business focused on advanced materials, and I expected that if we made the best material, the highest-performing product at a reasonable price, the sale would follow automatically. And in fact, that didn’t happen.”
The issue was that procurement managers look at price sheets, but engineers look at risk and reliability. Once Blakely realized that buyers needed proof of lower risk rather than just impressive specifications, he changed how his team engaged with potential clients. “It wasn’t just a matter of, ‘Can I make a better product?’ It is, ‘What problem does that product solve?’” Blakely explains. “Once we came to that realization (which, fortunately for me, was very early on in the first business that I started), we started to focus on spending more time with engineers and less time with the procurement people.”
Market Research as an Economic Reality Check
Assessing a true breakthrough requires a different mindset than evaluating an incremental product update. Because genuine innovations create capabilities that never existed before, standard market reports offer little guidance on whether a product will succeed. “When you see a breakthrough, you have to be very careful about relying too much on market data because, by its very definition, a breakthrough product is doing something that nothing else did previously,” Blakely says. In these instances, leaders have to rely on intuition and pattern recognition to craft a working hypothesis.
For Blakely, market research should not be used to predict customer desire, but rather to establish hard financial and scale limits. If a breakthrough cannot be manufactured at a price the target industry can tolerate, the project needs to stop before burning capital. “The market research side, to my mind, is more of a ruler against which you measure the challenges, which include scale and economics,” he says. “I think the research is there to validate the hypothesis, and the market research is there to kill it if it isn’t going to work.”
Surviving Long Commercial Adoption Cycles
Deep technology often moves on a timeline that runs completely counter to market readiness. In the 1990s, while heading Advanced Refractory Technologies, Blakely met a scientist from the former Soviet Union who held patents on diamond-like nanocomposites developed with researchers at Moscow’s Kurchatov Institute. The material showed remarkable technical properties, but commercial industries had no immediate framework to purchase or deploy it. “We had to find a way to acquire it, develop it, and create commercial opportunities long before the market was anywhere close to being ready to receive it,” Blakely recalls.
To bridge that gap, Blakely secured development contracts with research bodies across the military, including the Army, Navy, and Air Force research laboratories. These organizations wanted cutting-edge material capabilities even if they had not yet designed specific end-use applications for them. This funding allowed the technology to mature over several years without forcing an unfinished product into a hesitant commercial market. The patience paid off, leading to successful applications and proving that early non-commercial backing can keep promising technologies alive until broader industry demand catches up.
A similar dynamic played out as the broader nanomaterials field began to take shape 20 years ago. Early producers struggled because manufacturing tiny particles required custom factory setups, while issues like particle clumping and oxidation made large customers hesitant. “Over time, more and more research was done into methodologies for creating these ultra-small particles, keeping them from aggregating, and preventing them from changing chemistry by virtue of coatings or dispersions that protected the very high surface areas from oxidation or reaction,” Blakely notes. Once those technical and consistency barriers fell, industrial firms finally began integrating the materials into structural composites and coatings at scale.
Shortening the Runway from Lab to Market
In previous decades, moving a novel chemical or material from discovery to everyday commercial use was an agonizingly slow endeavor. Major chemical pioneers like DuPont and Dow Chemical routinely spent two decades bringing discoveries like Teflon to wide adoption. Venture investors often avoided the materials sector because returns took far too long to materialize. Today, computational chemistry and artificial intelligence (AI) have completely altered those economics by modeling thermodynamic stresses and chemical reactions before physical synthesis even begins.
Blakely points out that these digital tools have reduced the historical development timeline fivefold. With real-time databases and predictive models readily available, leaders no longer have to spend years gathering physical test points to prove a concept. “Those are all the quantifiable elements that have made the validation of intuition a shortened process,” Blakely explains. For executives navigating technical sectors, pairing fast digital validation with decades of practical field experience creates a direct path to bringing complex discoveries to market.
Follow Keith A. Blakely on LinkedIn for more insights on deep technology commercialization, advanced materials, and bridging the gap between scientific innovation and market readiness.
